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DAS
2008
Springer
13 years 10 months ago
New Oversampling Approaches Based on Polynomial Fitting for Imbalanced Data Sets
In classification tasks, class-modular strategy has been widely used. It has outperformed classical strategy for pattern classification task in many applications [1]. However, in ...
Sami Gazzah, Najoua Essoukri Ben Amara
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
13 years 10 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount
PR
2007
133views more  PR 2007»
13 years 8 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
PPOPP
1997
ACM
14 years 1 months ago
The Interaction of Parallel Programming Constructs and Coherence Protocols
Some of the most common parallel programming idioms include locks, barriers, and reduction operations. The interaction of these programming idioms with the multiprocessor's c...
Ricardo Bianchini, Enrique V. Carrera, Leonidas I....
BMCBI
2007
178views more  BMCBI 2007»
13 years 9 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat